The proceedings contain 168 papers. The topics discussed include: communication induced checkpointing based fault tolerance mechanism – a review and CIAC-FTM framework in IoT environment;a semantic review on challeng...
ISBN:
(纸本)9781665462006
The proceedings contain 168 papers. The topics discussed include: communication induced checkpointing based fault tolerance mechanism – a review and CIAC-FTM framework in IoT environment;a semantic review on challenges, trends towards defensive ids in Internet of things;semantic segmentation in medical image based on hybrid Dlinknet and UNet;smart car - one stop for all automobile needs;hybrid cryptography algorithm for the internet of things based plant information security;5G network: architecture, protocols, challenges and opportunities;fiber Bragg grating temperature sensor and calibration scheme in high magnetic field environment : an application for aluminum electrolysis cell in potline;federated learning with blockchain: a study of the latest decentralized couple;an enhanced copy-deterrence scheme for secure image outsourcing in cloud;decentralized data privacy protection and cloud auditing security management;land registry and title management using blockchain and smart contracts;breast cancer modeling and prediction combining machine learning and artificial neural network approaches;and confluence of artificial intelligence and blockchain powered smart contract in finance system.
intelligent business operation systems are undergoing a revolution as a result of cognitive computing, which is boosting their capacity to analyze large amounts of data and produce well-informed conclusions in real-ti...
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intelligent business operation systems are undergoing a revolution as a result of cognitive computing, which is boosting their capacity to analyze large amounts of data and produce well-informed conclusions in real-time. The purpose of this investigation is to investigate the possibility of incorporating cognitive computing technologies, such as machine literacy, natural language processing, and big data analytics, into business operation systems to address the issue of civic traffic, improve the flow of business, and enhance safety. The development of adaptive business control mechanisms that can respond robustly to changing business situations is made possible by cognitive computing. This is accomplished through the use of sophisticated algorithms and predictive analytics. The purpose of this article is to investigate case studies and real-world implementations, to highlight the major improvements in company efficiency and decrease in travel times that may be realized using cognitive computing. The findings provide evidence that cognitive computing has the potential to transform conventional business operation systems into intelligent, responsive networks that are capable of tone-optimization. This would result in the creation of civic environments that are more intelligent and more environmentally sustainable.
intelligent Automation & Soft computing： An international Journal seeks to provide a common forum for the dissemination of accurate results about the world of artificial intelligence, intelligent automation, cont...
intelligent Automation & Soft computing： An international Journal seeks to provide a common forum for the dissemination of accurate results about the world of artificial intelligence, intelligent automation, control, computer science, modeling and systems engineering. It is intended that the articles published in the journal will encompass both the short and the long term effects of soft computing and other related fields such as robotics, control, computer, cyber security, vision, speech recognition, pattern recognition, data mining, big data, data analytics, machine intelligence and deep learning. It further hopes it will address the existing and emerging relationships between automation, systems engineering, system of computer engineering and soft computing. intelligent Automation & Soft computing is published monthly by Tech Science Press.
Demand response (DR) plays a significant role in modern energy management systems, particularly within the context of adaptive and intelligent building energy management systems (AI-BEMS). In the AI-BEMS context, DR f...
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ISBN:
(纸本)9798350361261;9798350361278
Demand response (DR) plays a significant role in modern energy management systems, particularly within the context of adaptive and intelligent building energy management systems (AI-BEMS). In the AI-BEMS context, DR focuses on dynamically adjusting energy usage in response to external factors, such as electricity prices, grid conditions, and environmental considerations. This survey paper explores the evolving landscape of DR within the framework of AI-BEMS, focusing on the integration of advanced technologies and adaptive strategies to optimize energy consumption and enhance grid reliability. This article reviews state-of-the-art research addressing the key concepts associated with integrating DR and AI-BEMS, including an overview of DR techniques in AI-BEMS, and an artificial intelligence and machine learning applications for the development of adaptive control strategies and DR optimization. Then, insights are provided on the future directions and the challenges in this field regarding the implementation of DR within AI-BEMS.
Fundamental in numerical computing, mean square (MS) and mean squared error (MSE) calculations play a vital role, especially in artificial intelligence (AI) and signal processing applications. This paper introduces a ...
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ISBN:
(数字)9798350349597
ISBN:
(纸本)9798350349603;9798350349597
Fundamental in numerical computing, mean square (MS) and mean squared error (MSE) calculations play a vital role, especially in artificial intelligence (AI) and signal processing applications. This paper introduces a versatile, low-complexity, and adaptable approach to implement MS and MSE calculations. The central concept involves employing in-memory computing (IMC) technique and executing computations through a set of memristor devices. Specifically, the necessary multiplications and additions leverage the inherent properties of memristor devices, adhering to Ohm's law and Kirchhoff's current law. This innovative method enhances flexibility by programming memristors and emphasizes processing efficiency by reducing computational complexity and latency, surpassing traditional implementation methods.
This study considered a method of applying model predictive control (MPC) to a system whose dynamics are unknown, using the dynamics estimated by an extended state observer (ESO). In our approach, the dynamics require...
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intelligent transportation systems (ITS) use the latest technologies for real-time traffic control and monitoring to ensure efficient traffic management and reduce the risks of traffic accidents. The microscopic level...
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ISBN:
(纸本)9798350369458;9798350369441
intelligent transportation systems (ITS) use the latest technologies for real-time traffic control and monitoring to ensure efficient traffic management and reduce the risks of traffic accidents. The microscopic level of traffic modeling is the most appropriate level for controlling and monitoring the interaction between vehicles based on car-following scenarios. However, the data retrieved from sensor networks can be affected by measurement errors, and consequently the implementation of appropriate mechanisms to overcome their propagation to the control system is mandatory. This paper aims to analyse the current research in the calibration of car-following models and provide valuable insights of recent developments in this field. To achieve this goal, VOSviewer has been chosen as a visualisation tool to create bibliographic maps based on the output from the well-known scientific database Clarivate Analytics Web of Science (WoS). The maps obtained provide a visual representation of the main institutions involved in this field of research and identify the research interests based on author and indexing keywords. Furthermore, this paper analyses the top five clusters identified based on the analysis of co-occurrence keywords, presenting discussions about the connections existing within these clusters.
The proceedings contain 170 papers. The topics discussed include: analysis and prediction of learning effect based on data mining algorithm and sports system;evaluation of rural revitalization based on projection purs...
ISBN:
(纸本)9781665493963
The proceedings contain 170 papers. The topics discussed include: analysis and prediction of learning effect based on data mining algorithm and sports system;evaluation of rural revitalization based on projection pursuit model;application of particle swarm optimization algorithm in system economic scheduling;design of video stream encoding in microfilm;the application of the expert system in English reading teaching;the application analysis of virtual and augmented reality in modern drama, film and television;logistics distribution route optimization algorithm based on deep learning;design of English teaching system based on K-mean clustering algorithm;financial abnormal data monitoring and analysis algorithm based on data mining and neural network;the application of grow model in vocal music teaching;the application of video flow graph in the construction of educational network platform;construction of financial early warning system based on binary time series algorithm;terrain feature extraction method of digital transmission line based on depth self-encoder;research and design of English auxiliary learning system based on human-computer interaction;and application of resource coordination and management in data network in innovation and entrepreneurship education system.
As the core device of the new energy production system, the grid-connected inverter plays a crucial role in transforming new energy into electrical energy. Regarding the grid-connected three-phase inverter, the mathem...
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